| What it does | Datasets for RAG, fine-tuning and training built from public sources
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Paid
| Freemium
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| Pricing | Web Corpus: starter sets from $49 (250,000-500,000 documents); shelf corpora from $99-$199 per shelf (one-time license); Everything (full crawl) $3,000 one-time; Whole Library (all builds for one year) $5,000 per year. Reference Collections: Encyclopedia $1,200 commercial or $349 research (one-time)
| Free trial: 7 days with 500 KI-Credits, no credit card required. Pro: $20/month ($16.67/month billed yearly) with 2,000 KI-Credits per month. Scholar: $60/month ($50/month billed yearly) with 6,000 KI-Credits per month, team of 6 people included, additional seats $10/person/month. KI-Credit packages
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| Key features | - Web corpus with 100.7M documents and 105B tokens from Common Crawl
- Documents scored with Bear Rank and shelved by subject
- 15 million encyclopedia entries with sources and model attribution
- 200 million synthetic Q&A records with metadata
- Delivered as JSONL and Parquet formats
- Free samples available on Hugging Face
- Command-line client with resumable downloads and SHA-256 verification
- Statistics collection with 7,000 topics and 140,000 figures
- Glossaries for 10,000 topics with one million definitions
- Book Q&A dataset with 8,000 titles for reading comprehension
| - PDF and EPUB reader with highlighting and annotations
- Automatic source attribution for notes
- Support for 10,000+ citation styles including APA, IEEE, GB/T 7714
- AI-assisted writing from verified sources
- Import from Zotero, BibTeX, and RIS
- Import notes from Obsidian Vault and Notion
- Real-time collaboration with role-based permissions
- Infinite whiteboard for visual thinking and organization
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| What makes it different | - All datasets built only from public sources with full provenance tracking
- Every record includes source attribution and licensing information
- Eight curated subject shelves for targeted corpus selection
- Flexible purchasing: buy individual shelves, slices, or entire library
- Over 4 TB of clean, deduplicated text ready for machine learning
| - Unified workflow from reading to submission with traceable source attribution for every statement
- Persistent knowledge tree that grows across projects, with AI-powered connection discovery
- AI writing that only drafts from user's own verified sources, maintaining research integrity
- Repurpose sourced notes into posters, slides, infographics without re-typing
- Offline writing with automatic synchronization across devices and team members
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 5 | 0 |
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| Citation Flow (Majestic) | 28 | 0 |
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| Referring domains (Majestic) | 69 | 0 |
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